School of Advanced Sciences (SAS) - PG
School of Advanced Sciences (SAS)
The School offer. M.Sc. programs in Chemistry, Physics and Mathematics. It also offers core and elective courses for all PG Programmes.
Courses Offered in Vellore Campus
2-year Programs:
- M.Sc. Chemistry (Organic / Inorganic / Analytical / Pharma)), RSC Accredited course (Applicable to forthcoming 2021-2023 batch students).
- M.Sc. Physics
- M.Sc. Data Science
- M.Sc. Business Statistics
5-Year Integrated Programs:
- Integrated Master of Science in Chemistry
- Integrated Master of Science in Physics
- Integrated Master of Science in Mathematics
- Integrated Master of Science in Computational Statistics and Data Analytics
Courses Offered in Chennai Campus
- M.Sc. Chemistry
- M.Sc. Physics
- M.Sc. Data Science
- For more information about programs offered in chennai campus (https://chennai.vit.ac.in).
- M.Sc. Chemistry (Organic / Inorganic / Analytical / Pharma)
- About the Programme
- Programme Core Courses
- Programme Elective Courses
- Infrastructure
- Scope of employment
- Curriculum
- Department of Chemistry, School of Advanced Sciences, offers master’s program, M.Sc. Chemistry accredited by the coveted Royal Society of Chemistry (RSC) UK.
- Offers specialization in Analytical / Inorganic / Organic / General Chemistry / Pharmaceutical Chemistry.
- Primary goal of the program is to prepare a new generation of young scientists with professional capabilities to meet the technical and societal needs of the 21st century.
- Curriculum for Applied learning (CAL), benchmarked with top-ranking universities, facilitates experiential learning to the students.
- Project components of the curriculum expose them to different research areas.
Theory Courses (PC)
Inorganic Chemistry / Analytical Chemistry / Physical Chemistry / Organic Chemistry
Lab Courses (PC)
Inorganic Chemistry Practical I / Analytical Chemistry Practical I / Physical Chemistry Practical I / Organic Chemistry Practical I
Theory Courses (PE)
- Analytical chemistry Specialization:
Group Theory and Molecular Spectroscopy/ Electroanalytical and separation technique / Environmental and Industrial Analytical Chemistry / Bioanalytical & Forensic Analysis/ Analytical Quality Assurance for Process Industry. - Inorganic Chemistry Specialization:
Advanced Inorganic Chemistry / Group Theory and Molecular Spectroscopy / Materials Chemistry / Nanomaterials & Characterization Techniques / Inorganic Photochemistry. - Organic Chemistry Specialization:
Advanced Organic Chemistry /Chemistry of Heterocyclic Compounds / Organic Synthesis and Methodologies / Group Theory and Molecular Spectroscopy / Photochemistry and Pericyclic Reactions. - Pharmaceutical Chemistry Specialization:
Pharmaceutical Quality Control and Quality Assurance/ Process Chemistry in Pharmaceutical Industry / Group Theory and Molecular Spectroscopy / Pharmacognosy and Phytochemistry / Medicinal Chemistry - General Chemistry:
Advanced Inorganic Chemistry / Advanced Organic Chemistry/ Advanced Physical Chemistry / Group Theory and Molecular Spectroscopy /one optional paper from (Analytical Quality Control and Quality Assurance / Organic Synthesis and Methodologies / Materials Chemistry / Medicinal Chemistry).
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Lab Courses (PE)
- Analytical chemistry:
Analytical Chemistry Practical II / Analytical Chemistry practical III - Inorganic Chemistry:
Inorganic Chemistry Practical II / Inorganic Chemistry Practical II - Organic Chemistry:
Organic Chemistry Practical II / Organic Chemistry Practical III - Pharmaceutical Chemistry:
Medicinal Chemistry Practical / Pharmacognosy & Phytochemistry Practical - General Chemistry:
Analytical & Physical Chemistry Practical/ Organic & Inorganic Chemistry Practical.
- M.Sc. Analytical and Instrumentation Laboratory
- M.Sc. Organic Chemistry Laboratory
- M.Sc. Inorganic Chemistry Laboratory
- M.Sc. Chemistry Laboratory
- Chemistry Research Laboratory I
- Chemistry Research Laboratory II
- Chemistry Research Laboratory III
- Chemistry Research Laboratory IV
- Chemistry of Heterocycles and Natural Product Research Laboratory
- Organometallic and Catalysis Research Lab
- Smart Material Laboratory for Biosensing and Catalysis
- Organic and Polymer Research Laboratory
- Pharmaceutical Chemistry Laboratory and Electrochemical Research Lab
- Organic Research Laboratory
- Nano and Bioelectrochemical Research Laboratory
- Organic and Medicinal Chemistry Research Laboratory - I
- Analytical and Materials Chemistry Research Laboratory
- Organic and Medicinal Chemistry Research Laboratory - II
- Material Chemistry Laboratory
- Advanced Materials and Catalysis Research Laboratory
- Main Group and Organometallics Lab
- Computational Chemistry Research Lab
- Optical Sensing Laboratory
- Sophisticated Instrumentation Facility (SIF)
- Fourier Transform Infrared Spectrophotometer & Thermogravimetric Analysis Laboratory
- Powder X- ray Diffractometer Facility - I
- Powder X- ray Diffractometer Facility - II
- High Resolution Mass Spectroscopy Lab
- Transmission Electron Microscopy Laboratory
Curriculum is designed in such a way that students are trained for skill based learning. Project components are part of the curriculum to acquire experience in industry-oriented skills.
- M.Sc.Physics
- About the Programme
- Programme Core Courses
- Programme Elective Courses
- Infrastructure
- Scope of employment
- Curriculum
The M.Sc. in Physics program is aimed to combine coursework components with hands-on research experience at every semester in the frontiers of basic physics and applied physics research. In the fourth semester of the degree course, the students will complete a research thesis, though at a lower level of comprehensiveness and depth than PhD theses. Therefore, this degree course is truly a holistic development for the Masters students to solve the real-world societal problems through innovative ideas. Industry connectivity for research and appropriate subjects learning are common goal for this course curriculum. This is also to ensure that opportunities are created for pursuing further research career in the industries as well as in the Universities in India and abroad.
| S.NO. | COURSE CODE | COURSE TITLE | L | T | P | J | C |
|---|---|---|---|---|---|---|---|
| 1. | PHY5001 | Mathematical Physics | 3 | 2 | 0 | 0 | 4 |
| 2. | PHY5002 | Classical Mechanics | 3 | 2 | 0 | 0 | 4 |
| 3. | PHY5003 | General Physics Lab-I | 0 | 0 | 4 | 0 | 2 |
| 4. | PHY5004 | Electromagnetic Theory | 4 | 0 | 0 | 0 | 4 |
| 5. | PHY5005 | Quantum Mechanics | 4 | 0 | 0 | 0 | 4 |
| 6. | PHY5006 | Statistical Mechanics | 3 | 0 | 0 | 0 | 3 |
| 7. | PHY5007 | General Physics Lab-II | 0 | 0 | 4 | 0 | 2 |
| S.NO. | COURSE CODE | COURSE TITLE | L | T | P | J | C |
|---|---|---|---|---|---|---|---|
| 1. | PHY6001 | Introduction to Solid State Physics | 3 | 0 | 0 | 4 | 4 |
| 2. | PHY6002 | Nuclear and Particle Physics | 3 | 0 | 0 | 4 | 4 |
| 3. | PHY6003 | Atomic and Molecular Physics | 3 | 0 | 0 | 4 | 4 |
| 4. | PHY6004 | Basic Electronics | 3 | 0 | 0 | 4 | 4 |
| 5. | PHY6005 | Advanced Solid State Theory | 3 | 0 | 0 | 0 | 3 |
| 6. | PHY6006 | Nanomaterials and its applications | 3 | 0 | 0 | 0 | 3 |
| 7. | PHY6007 | Optoelectronics | 3 | 0 | 2 | 0 | 4 |
| 8. | PHY6008 | Laser and Fiber Optics | 3 | 0 | 0 | 0 | 3 |
| 9. | PHY6009 | Bio Physics | 3 | 0 | 0 | 0 | 3 |
| 10. | PHY6010 | Microwave Physics and Device Technology | 3 | 0 | 0 | 0 | 3 |
| 11. | PHY6012 | Solid State Magnetism | 3 | 0 | 0 | 0 | 3 |
| S.NO. | COURSE CODE | COURSE TITLE | L | T | P | J | C |
|---|---|---|---|---|---|---|---|
| 1 | PHY6006 | Nanomaterials and its applications | 3 | 0 | 0 | 0 | 3 |
| 2 | PHY6008 | Laser and Fiber Optics | 3 | 0 | 0 | 0 | 3 |
- Teaching in academic institutions
- In R & D centers and Industries including multinational companies
- Research opportunities in Universities in India and abroad as well
- M.Sc (Data Science)
- About the Programme
- Programme Core Courses
- Programme Elective Courses
- Infrastructure
- Scope of employment
- Curriculum
This programme equips the students thoroughly in practical as well as theoretical knowledge in data mining and applied statistics through modules in artificial intelligence, visualisation, programming and database manipulation. The students are made employable for careers as data analysts and data scientists, which are the emerging needs in wide range of industries, academia and government.
Matrix Theory and Linear Algebra / Probability Theory and Distributions / Statistical Inference/ Regression Analysis and Predictive Models / Time series analysis and Forecasting / Multivariate Data Analysis.
Artificial intelligence for Data Science / Machine learning for Data Science / Deep learning / Programming for Data Analysis/ Design and Analysis of Experiments / Optimization Techniques / Statistical Quality Control/ Programming for Data Science / Computational Statistics for Data Science
The computer lab is equipped with Intel CORE I5 processors connected through the high-speed Local area network to access vast intellectual resources. Students are expected to use the lab facility in their day-to-day study to implement and experiment with knowledge acquired in the classroom. All the PCs have advanced and latest software: Microsoft Office, Microsoft visual studio. Net 2012, Python-3.4.3/38, Java 1.8, MATLAB 2015A, R-Software / R- Studio, SPSS23, TEX Studio, Oracle Client 11g.
- IT firms, Tech firms, Business firms, Consultancies, Industries, R&D firms
- Banking and Financial Services
- Market Research Companies
- Energy and Utilities
- Pharma and Healthcare
- E-commerce
- Media and Entertainment
- Telecom Industry
- Automobile Industry
- Retail and CPG
- Tourism & Development
- M.Sc. (Business Statistics)
- About the Programme
- Programme Core Courses
- Programme Elective Courses
- Infrastructure
- Scope of employment
- Curriculum
Statistics is a much versatile subject which can be applied in almost any field. We at Vellore Institute of Technology offer a Master’s degree in Business Statistics. Course curriculum incorporates ideas and methods such as data analysis, data visualization, data mining, and large scale data-based inquiry for big data, and non-standard design methodologies, along with topics of machine learning, algorithmic techniques, and optimization, to tackle issues that come up with large-scale data such as memory and computational speed. We strive to provide you with fundamental skills and cutting-edge business knowledge that will equip you to lead innovative thinking in today's organizations.
Aim of the Course:Â The Degree of M.SC Business Statistics aims to train the students in the development and applications of Statistical techniques for analyzing data arising in the scientific investigation of problems in various disciplines. It is also proposed to provide first hand practical experience in handling modern statistical software in the analysis of such data.
- Data Analytics and Decision Making
- Business Statistics with R
- Modelling and Simulation
- Machine Learning with Business Applications
- Decision Support Systems
- Business Computer applications
- Applied Multivariate Analysis
- Time Series Analysis and Business Forecasting
- Production and Operations Management
- Big Data Analytics and Visualization
- Survey Sampling and Design
- Actuarial Statistics
- Network and Project Management
- Financial Mathematics
- Inventory Analysis
- Optimization Modelling
- Artificial Intelligence in Business
The department of Mathematics, School of Advanced Sciences has three computer laboratories with 50 computers in each lab accessible to students. It has advanced infrastructure in terms of hardware and software. The Business Statistics curriculum has been planned in such a way that the students will get exposure to various technologies and softwares. In order to make this program more impactful and fascinating for the students, we have industrial visits and projects every semester. Moreover, the value-added programs such as MATH-A-THON and STAT-A-THON are organizing each semester to give a stage to the students where they can upgrade the thoughts.
- Research Centres
- Manufacturing Sector
- Pharmaceutical Companies
- Educational Institutes
- Scientific Research Organisations
- Public Sector Research Organisations
- Market Research Companies
- Banking Sector
- Insurance Companies
- Integrated M.Sc. Chemistry (5 Years)
- About the Programme
- Programme Core Courses
- Programme Elective Courses
- Infrastructure
- Scope of employment
- Curriculum
- Department of Chemistry, School of Advanced Sciences, offers 5 year integrated master’s program in M.Sc. Chemistry with exit options at the end of 3rd and 4th year for the benefit of students
- Offers 5-year integrated M.Sc program in General Chemistry
- Focus of the program is to create a link between UG and PG within the same academic thread and prepare students for new generation of young scientists
- Curriculum and syllabus aree benchmarked with top-ranking universities, facilitates experiential learning to the students.
- Project based learning of the curriculum direct students to multiple research areas.
Organic Chemistry / Organic Qualitative and Quantitative Analysis Lab / Lab Safety Training / Physical Chemistry / Physical Chemistry Laboratory / Inorganic Chemistry / Inorganic Quantitative Analysis Laboratory / Organic Compounds Synthesis and Extraction Laboratory / Transition and Inner Transition Elements / Instrumental Methods of Chemical Analysis / Instrumental Methods of Analysis Laboratory / Inorganic Synthesis Laboratory / Chemistry of Heterocyclic and Natural Products / Chemical Kinetics, Catalysis and Surface Chemistry / Kinetics and Catalysis Laboratory / Advanced Organic Chemistry / Advanced Organic Chemistry laboratory / Advanced Inorganic Chemistry / Quantum Chemistry and Group Theory / Organic Synthesis / Bioinorganic Chemistry / Inorganic Materials Laboratory / Electro and Surface Analytical techniques / Electro and Surface Analytical techniques Laboratory
Stereochemistry and Spectroscopy / States of Matter and Colloids / Coordination and Organometallic Chemistry / Green Chemistry / Computational Chemistry / Industrial Organic Chemistry / Energy Storage Devices / Polymer Chemistry / Separation Techniques / Bioorganic Chemistry / Food Chemistry / Asymmetric Synthesis / Advanced Spectroscopy / Biophysical Chemistry / Contemporary Chemistry / Medicinal Chemistry / Quality Control and Quality Assurance / Inorganic Photochemistry and Spectroscopy / Organic Photochemistry / Industrial Catalysis / Laboratory Project / Design Project / Special Project / Study Project / Computer Project
| S.NO. | NAME OF THE LABORATORY | VENUE |
|---|---|---|
| 1 | M.Sc. Analytical and Instrumentation Laboratory | TT535 |
| 2 | M.Sc. Organic Chemistry Laboratory | TT221 |
| 3 | M.Sc. Inorganic Chemistry Laboratory | TT214 |
| 4 | M.Sc. Chemistry Laboratory | PBLG04 |
| 5 | B.Tech. Engineering Chemistry Laboratory I | SMVG09 |
| 6 | B.Tech. Engineering Chemistry Laboratory II | PBLG07 |
| 7 | B.Tech. Materials Instrumentation Laboratory | SMVG027 |
| 8 | Chemistry Research Laboratory I | SMV106 |
| 9 | Chemistry Research Laboratory II | SJTA102 |
| 10 | Chemistry Research Laboratory III | TT328 |
| 11 | Chemistry Research Laboratory IV | TT536 |
| 12 | Chemistry of Heterocycles and Natural Product Research Laboratory | TT210 |
| 13 | Organometallic and Catalysis Research Lab | TT327 |
| 14 | Smart Material Laboratory for Biosensing and Catalysis | TT309 |
| 15 | Organic and Polymer Research Laboratory | TT213 |
| 16 | Pharmaceutical Chemistry Laboratory and Electrochemical Research Lab | TT211 |
| 17 | Organic Research Laboratory | TT730 |
| 18 | Nano and Bioelectrochemical Research Laboratory | TT525 |
| 19 | Organic and Medicinal Chemistry Research Laboratory - I | TT224 |
| 20 | Analytical and Materials Chemistry Research Laboratory | TT217 |
| 21 | Organic and Medicinal Chemistry Research Laboratory - II | TT216 |
| 22 | Material Chemistry Laboratory | TT209 |
| 23 | Advanced Materials and Catalysis Research Laboratory | TT203 |
| 24 | Main Group and Organometallics Lab | TT203 |
| 25 | Computational Chemistry Research Lab | TT203 |
| 26 | Optical Sensing Laboratory | TT203 |
| 27 | Sophisticated Instrumentation Facility (SIF) | TT015 |
| 28 | Fourier Transform Infrared Spectrophotometer & Thermogravimetric Analysis Laboratory | TT343 |
| 29 | Powder X- ray Diffractometer Facility – I | TT038 |
| 30 | Powder X- ray Diffractometer Facility – II | CDMM01 |
| 31 | High Resolution Mass Spectroscopy Lab | CDMM01 |
| 32 | Transmission Electron Microscopy Laboratory | SMVG18 |
Curriculum is designed in such a way that students are trained for skill based learning. Project components are part of the curriculum to acquire experience in industry-oriented skills.
- Integrated M.Sc. Physics (5 Years)
- About the Programme
- Programme Core Courses
- Programme Elective Courses
- Infrastructure
- Scope of employment
- Curriculum
The Integrated M. Sc. program offered by SAS, VIT aims to train the students in high level theoretical, experimental and industrial exposure enabling them to tackle practical complex problems as well as to pursue further academic achievements through research. Since Physics, Chemistry and Mathematics are fundamental courses in sciences, students will be taught a mix of all these subjects including computer programming. In this period, all possible opportunities will be created for close interaction with research institutes as well as industries and the students will be exposed for high level training. After successful completion of the academic requirements students will be awarded a Master of Science degree
Mechanics / Mechanics Laboratory / Solid State Physics / Materials Science Laboratory / Properties of Matter / Mathematical Physics / Electricity and Magnetism / Advanced Mathematical Physics / Analog and Digital Electronics / Electronics Laboratory / Optics and Spectroscopy / Classical Mechanics / Principles of Quantum Mechanics / Advanced Quantum Mechanics / Statistical Mechanics / Electromagnetic Theory / Condensed Matter Physics / Laser Physics / Laser and Photonics Laboratory / Advanced Physics Laboratory / Computational Physics Laboratory /
Semiconductor Device Physics / Heat and Thermodynamics / Sound and Acoustics / Physics of Nanoscale / Characterization of Materials / Experimental Techniques in Physics / Physics of Photonic Devices / Quantum Optics / Quantum Information Theory / Functional Materials / Nuclear and Particle Physics / Fiber and Nonlinear Optics / Physics and Technology of Thin Films / Ferroelectrics and Dielectrics / Physics of Superconductors / Crystal Growth Techniques / Statistical Studies of Complex Systems / Applied Solid State Physics / Nonlinear Optics / Physics of Renewable Energy Systems / Molecular Simulation / Fluid Dynamics and Plasma Physics / Microprocessor and Microcontroller / Electronic Instrumentation /
- In R & D Centres and Industries including Multi-national companies
- Research Opportunities in Universities in India and Abroad
- Teaching in Academic Institutions
- Integrated M.Sc. Mathemaics (5 Years)
- About the Programme
- Programme Core Courses
- Programme Elective Courses
- Infrastructure
- Scope of employment
- Curriculum
The integrated M.Sc Mathematics offers wide spectrum of courses. Introductory level courses in algebra, analysis, and geometry help students to strengthen their mathematical maturity while advanced level courses complemented with case studies and projects promote involvement with faculty to strengthen research skills. The courses are designed to accommodate the future needs of students and society and to become the next generation leading researchers in their fields. Project and case studies are integral part of specialized courses offered in this programme. World class facilities, excellent laboratories and highly qualified faculty members give outstanding training in mathematics and its links to other disciplines.
Linear Algebra / Real Analysis / Ordinary Differential Equations / Complex Analysis / Introduction to Probability and Statistics / Introduction to Probability and Statistics Laboratory / Numerical Analysis / Numerical Analysis Laboratory / Basic Abstract Algebra / Operations Research / Discrete Mathematical Structures / Topology / Calculus of Variations and Integral Equations / Graph Theory / Functional Analysis / Partial Differential Equations / Transform Techniques / Measure and Integration / Statistical Inference / Statistical Inference Laboratory
Number Theory / Fuzzy Set Theory and its Applications / Mathematical Statistics / Engineering Optimization / Tensors and Differential Geometry / Classical Mechanics / Mathematical Ecology / Data Structures / Project-I / Mathematical Finance / Fluid Dynamics / Difference Equations and its Applications / Database Management / Project-II / Advanced Abstract Algebra / Advanced Complex Analysis / Numerical Solution to Partial Differential Equations / Stochastic Processes / Magnetohydrodynamics / Fractional Calculus with Applications / Finite Element Methods and Applications / Sobolev Spaces / Computational Fluid Dynamics / Mathematical Modelling and Simulation / Infinite Dimensional optimization and Control theory
- Programming in Python Laboratory
- Structured and Object Oriented Programming (C & C++) Laboratory
- Programming in Java Laboratory
- Introduction to Probability and Statistics Laboratory
- Scientific computing Laboratory
- Data analysis Laboratory
- Statistical Inference Laboratory
- Academic-Teaching
- Scientists and Research
- Finance, analytics, consulting, cryptography based security and information technology
- LIC, Actuarial Sciences, Retail Analysis, Industries–Business Analyst
- Military Operations such as DRDO, NAL, SETS, etc.
- Operations Analyst /Project Development
- Public Service Commissions
- Central government jobs from ISRO, CFTRI and ONGC
- TCS, INFOSYS, CTS, FORD, HCL, NOVARTIS and all MNC’s.
- All National and International Banks
- Integrated M.Sc.( Computational Statistics and Data Analytics)
- About the Programme
- Programme Core Courses
- Programme Elective Courses
- Infrastructure
- Scope of employment
- Curriculum
The demand for data analytics and processing experts is on the growing trend as the need to handle huge amount of data is increasing across all domains. In multinational companies relies on data scientists for proper usage of the huge amount of data they gather. This Programme is designed with an aim to equip the students to learn, understand and practice through advanced statistical software’s related to data science and machine learning approaches, with a focus on rendering solution to industrial applications. This integrated program is designed with an objective to offer the fundamental concepts of computational statistics and data analytics and advanced subjects related to data science applications which will offer a better placement opportunity to students. This course will focuses on subjects in statistics, machine learning and would offer an opportunity for a clear understanding of related tools on data science domain.
Program Highlights:
- Program designed with curriculum for applied learning
- Students learn through real time application and projects.
- Soft skill training
- Capstone project (Xth Semester)
- Fundamentals of statistics
- Probability of random variables
- Statistical Methods for Data Analysis
- Distribution Theory and Its applications
- Sampling Techniques
- Linear Algebra and Numerical Methods
- Discrete Mathematics
- Statistical inference
- Predictive Modelling
- Design and Experiments
- Programming for Data Analysis
- Computational Statistics for Data Science
- Statistics Computing for Data Analysis
- Applied Forecasting Methods
- Operations research for Data Analysis
- Multivariate Statistical Analysis
- Statistical Quality Control
- Data base Management Systems
- Design and Analysis of Algorithm
- Total Quality Management
- Non-Parametric Statistics
- Machine learning for Data Analysis
- Modelling And Simulation
- Applied Econometric Analysis
- Biostatistics
- Big Data Analytics
- Decision Modelling Techniques
- Actuarial statistics
- IoT Data Analytics
- Deep Learning for Analytics
- Data Warehousing and Data Mining
- Web Technologies
- Decision Support System
- Artificial Intelligence for Data Analytics
- Data Engineering for Analytics
- Software Quality and Testing
- Cloud Computing Techniques
- Programming in C
- Objective Oriented Programming
- Advance Java
Specially designed world class laboratories for SPSS, MATLAB, R and Python programming etc,.
The master program in computational statistics and data analysis is designed to cater the fastest growing job scenarios with a big demand for analytics, data analysis and data mining. The curriculum emphasis the principle of statistics and analytics and it encompasses courses like time series analysis, statistical quality control, data visualizations, Machine learning etc. The students get exposed to intuitively analyze data and equipped with marketable skills built on solid foundation to take up positions like data analytics, quality control manager, business analytics, data engineer, data manager and statistician and system analysts or pursue a research career.
